Senior Data Scientist Biomarker
Hyderabad, India
Sanofi
Sanofi pushes scientific boundaries to develop breakthrough medicines and vaccines. We chase the miracles of science to improve people’s lives.Grade: L2-1
Location: Hyderabad
About the job
Our Hubs are a crucial part of how we innovate, improving performance across every Sanofi department and providing a springboard for the amazing work we do. Build a career and you can be part of transforming our business while helping to change millions of lives. Ready? As a Biomarker Computational Scientist within our Statistics Team at Hyderabad, you will play a crucial role in developing and implementing machine learning and deep learning algorithms to solve complex problems and support our clinical biomarker data insights generation. You will work closely with cross-functional teams to ensure data is accessible, reliable, and optimized for analysis. Your expertise in machine learning and deep learning will be essential in driving our data initiatives forward.
We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people’s lives. We’re also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started?
Main responsibilities:
- Develop and implement machine learning / deep learning models to solve complex problems in drug discovery, clinical trials, and personalized medicine.
- Collaborate with cross-functional teams, including biostatisticians, bioinformaticians, and clinical researchers, to understand business requirements and translate them into data-driven solutions.
- Design and conduct experiments to evaluate model performance and iterate on model improvements.
- Analyze large biomedical datasets to extract meaningful insights and identify trends.
- Deploy and maintain machine learning / deep learning models in production environments, ensuring compliance with regulatory standards.
- Stay up to date with the latest advancements in deep learning, AI technologies, and pharmaceutical research.
- Communicate findings and recommendations to stakeholders through reports, presentations, and visualizations.
About you
- Experience:
- 2+ years (Master) or 1+ years (PhD) of pharmaceutical or related industry experience
- Familiar with Git operations for project development
- Experience on computer vision projects using neural network models
- Soft and technical skills:
- Proven experience in developing and deploying deep learning models using frameworks such as TensorFlow, PyTorch, or Keras.
- Strong programming skills in Python and experience with data manipulation libraries (e.g., Pandas, NumPy).
- Proficiency in working with large biomedical datasets and distributed computing tools (e.g., Hadoop, Spark).
- Solid understanding of machine learning algorithms, statistical methods, and their applications in the pharmaceutical industry.
- Excellent problem-solving skills and the ability to work independently and as part of a team.
- Strong communication skills and the ability to convey complex technical concepts to non-technical stakeholders.
- General knowledge for different type of biomarkers and molecular biology.
- Education: Master’s or Ph.D. in Computer Science, Data Science, Bioinformatics, Statistics, or a related field.
- Languages: Excellent communication in English, both oral and written
Why choose us?
- Bring the miracles of science to life alongside a supportive, future-focused team.
- Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally.
- Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.
- Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks’ gender-neutral parental leave.
- Provide efficient and integrated data science support to Research, Preclinical and Translational Medicine
“You will be at forefront of scientific discovery and connect with the cutting-edge research”
Wenting Wang, Global Head of Biomarker Statistics
Pursue Progress. Discover Extraordinary.
Progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. You can be one of those people. Chasing change, embracing new ideas and exploring all the opportunities we have to offer. Let’s pursue progress. And let’s discover extraordinary together.
At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.
Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!
Pursue progress, discover extraordinaryBetter is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.
At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.
Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Bioinformatics Biology Computer Science Computer Vision Deep Learning Drug discovery Git Hadoop Keras Machine Learning NumPy Pandas Pharma PhD Python PyTorch Research Spark Statistics TensorFlow
Perks/benefits: Career development Equity / stock options Health care Parental leave Wellness
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